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The Semantic Vectors PackageCreates semantic WordSpace models from natural language text. Java, Python Nengo hdlib - Hyperdimensional Computint LibraryC, Cuda torchhd Python, built on pyTorch, MIT license Article: Torchhd: An Open-Source Python Library to Support Hyperdimensional Computing Research

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References

Here you find a list of papers that are discussed on this site. Where possible, links to publicly available pdfs are provided. Widdows, Dominic, and Trevor Cohen. “Reasoning with Vectors: A Continuous Model for Fast Robust Inference.” (2015) Logic journal

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VectorSymbolic

This is VectorSymbolic, a site about Vector Symbolic Architectures. Things will be up and running here shortly, but you can subscribe in the meantime if you'd like to stay up to date and receive emails when new content is published!

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This is VectorSymbolic, a site about Vector Symbolic Architectures. Things will be up and running here shortly, but you can subscribe in the meantime if you'd like to stay up to date and receive emails when new content is published!

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References

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Here you find a list of papers that are discussed on this site. Where possible, links to publicly available pdfs are provided. Widdows, Dominic, and Trevor Cohen. “Reasoning with Vectors: A Continuous Model for Fast Robust Inference.” (2015) Logic journal of the IGPL vol. 23,2, 141-173. pdfFoundationsSmolensky, P. "Tensor product variable binding and the representation of symbolic structures in connectionist systems". Artificial Intelligence. (1990) 46(1–2):159–216Kanerva, P. "Hyperdimensional computing: An introduction to computing in distributed representation with high-dimensional random vectors".  (2009) Cognitive Computation 1(2), 139–159Plate, T.A. "Holographic reduced representations", (1995) IEEE Transactions on

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